Benefits

Confirm model validity and track usage.

With an efficient, repeatable process for registering, validating, monitoring and retraining models, you can trace analytical models from their inception to their usage and ultimate retirement. Accountability metrics and version control status reports record who changes what and when – with full versioning, history and lineage relationships.

Monitor performance and stay current.

An iterative framework lets you test and compare your analytical models, generate necessary benchmark reports and – when models are deployed – push performance metrics to established reporting channels. Modelers can easily collaborate and reuse models. And you can set automatic alerts, detecting performance degradation for retraining and refinement.

Streamline management workflow.

This web-based software streamlines the manual, error-prone steps of creating, managing, administering and monitoring the deployment of analytical models. An automated and collaborative model management process lets you create customized workflows for different types of models and users. From data scientists to data miners, all experience a consistent view of model currency, historic versions and performance that empowers them to take relevant action.